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Data Science Weekly Newsletter
March 8, 2018

Editor's Picks

  • Absurdist Dialogues with Siri
    AI should not stunt the already dying art of conversation. AI should look to the best of our art and literature to create inspired conversation in our lives. Instead of the happy path, we should seek the interesting paths, as many of them as we might be lucky to stumble upon. Here’s one conversation, for example, that you could have with Siri today: Human: I’m home...

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Data Science Articles & Videos

  • Academia to Data Science - A Hitchhiker's Guide
    Recently I gave a talk at UC Berkeley regarding the transition from academia to industry in the context of Machine Learning and Data Science related roles. I based most of my slides on my own transition from being an Astrophysicist to a Machine Learning Expert...
  • The Malicious Use of AI: Forecasting, Prevention, and Mitigation
    This report surveys the landscape of potential security threats from malicious uses of artificial intelligence technologies, and proposes ways to better forecast, prevent, and mitigate these threats. We analyze, but do not conclusively resolve, the question of what the long-term equilibrium between attackers and defenders will be. We focus instead on what sorts of attacks we are likely to see soon if adequate defenses are not developed.In response to the changing threat landscape we make four high-level recommendations...
  • SnapLoc — Places of interest in a city, from geo-tagged photos
    SNAPLOC does automatic image classification and spatio temporal analysis in order to recommend the places of interest for traveling in a new city. The idea came out of a need, as I find most of the current POI recommendation services very painful to use. I love to travel and whenever I have been to a new city and felt a need to know about the most interesting places to explore near me, I generally look up interesting photos on various photo services like Instagram or 500px...
  • Interactive Convolution Visualizer
    This interactive visualization demonstrates how various convolution parameters affect shapes and data dependencies between the input, weight and output matrices...


Training & Resources

  • Second Major DeepChem Release
    This major version release finishes consolidating the DeepChem codebase around our TensorGraph API for constructing complex models in DeepChem. We've made a variety of improvements to TensorGraph's saving/loading features and added a number of new tutorials improving our documentation...
  • Python Plotting With Matplotlib (Guide)
    This article is a beginner-to-intermediate-level walkthrough on matplotlib that mixes theory with example. While learning by example can be tremendously insightful, it helps to have even a surface-level understanding of the library’s inner workings and layout as well...


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